Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g10/E09418.hea (727 bytes) 
E09418 12 500 5000
E09418.mat 16x1+24 1000.0(0)/mV 16 0 78 10040 0 I
E09418.mat 16x1+24 1000.0(0)/mV 16 0 0 -19516 0 II
E09418.mat 16x1+24 1000.0(0)/mV 16 0 -78 -29054 0 III
E09418.mat 16x1+24 1000.0(0)/mV 16 0 -39 4336 0 aVR
E09418.mat 16x1+24 1000.0(0)/mV 16 0 78 19355 0 aVL
E09418.mat 16x1+24 1000.0(0)/mV 16 0 -39 -24151 0 aVF
E09418.mat 16x1+24 1000.0(0)/mV 16 0 -9 -7598 0 V1
E09418.mat 16x1+24 1000.0(0)/mV 16 0 136 6196 0 V2
E09418.mat 16x1+24 1000.0(0)/mV 16 0 19 -20047 0 V3
E09418.mat 16x1+24 1000.0(0)/mV 16 0 19 -12233 0 V4
E09418.mat 16x1+24 1000.0(0)/mV 16 0 -9 -23020 0 V5
E09418.mat 16x1+24 1000.0(0)/mV 16 0 -29 -324 0 V6
# Age: 75
# Sex: Male
# Dx: 426177001,425623009,164934002
# Rx: Unknown
# Hx: Unknown